Distribution of soil nutrients and erodibility factor under different soil types in an erosion region of Southeast China
Background Soil erosion can affect the distribution of soil nutrients, which restricts soil productivity. However, it is still a challenge to understand the response of soil nutrients to erosion under different soil types. Methods The distribution of soil nutrients, including soil organic carbon (SO...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2021-06-01
|
Series: | PeerJ |
Subjects: | |
Online Access: | https://peerj.com/articles/11630.pdf |
id |
doaj-038e8908b8c84a17addf864b31fa0538 |
---|---|
record_format |
Article |
spelling |
doaj-038e8908b8c84a17addf864b31fa05382021-06-18T15:05:11ZengPeerJ Inc.PeerJ2167-83592021-06-019e1163010.7717/peerj.11630Distribution of soil nutrients and erodibility factor under different soil types in an erosion region of Southeast ChinaMan Liu0Guilin Han1Institute of Earth Sciences, China University of Geosciences (Beijing), Beijing, ChinaInstitute of Earth Sciences, China University of Geosciences (Beijing), Beijing, ChinaBackground Soil erosion can affect the distribution of soil nutrients, which restricts soil productivity. However, it is still a challenge to understand the response of soil nutrients to erosion under different soil types. Methods The distribution of soil nutrients, including soil organic carbon (SOC), soil organic nitrogen (SON), and soil major elements (expressed as Al2O3, CaO, Fe2O3, K2O, Na2O, MgO, TiO2, and SiO2), were analyzed in the profiles from yellow soils, red soils, and lateritic red soils in an erosion region of Southeast China. Soil erodibility K factor calculated on the Erosion Productivity Impact Calculator (EPIC) model was used to indicate erosion risk of surface soils (0∼30 cm depth). The relationships between these soil properties were explored by Spearman’s rank correlation analysis, further to determine the factors that affected the distribution of SOC, SON, and soil major elements under different soil types. Results The K factors in the red soils were significantly lower than those in the yellow soils and significantly higher than those in the lateritic red soils. The SON concentrations in the deep layer of the yellow soils were twice larger than those in the red soils and lateritic red soils, while the SOC concentrations between them were not significantly different. The concentrations of most major elements, except Al2O3 and SiO2, in the yellow soils, were significantly larger than those in the red soils and lateritic red soils. Moreover, the concentrations of major metal elements positively correlated with silt proportions and SiO2 concentrations positively correlated with sand proportions at the 0∼80 cm depth in the yellow soils. Soil major elements depended on both soil evolution and soil erosion in the surface layer of yellow soils. In the yellow soils below the 80 cm depth, soil pH positively correlated with K2O, Na2O, and CaO concentrations, while negatively correlated with Fe2O3 concentrations, which was controlled by the processes of soil evolution. The concentrations of soil major elements did not significantly correlate with soil pH or particle distribution in the red soils and lateritic red soils, likely associated with intricate factors. Conclusions These results suggest that soil nutrients and soil erodibility K factor in the yellow soils were higher than those in the lateritic red soils and red soils. The distribution of soil nutrients is controlled by soil erosion and soil evolution in the erosion region of Southeast China.https://peerj.com/articles/11630.pdfSoil organic carbon and nitrogenSoil major elementsSoil erodibilityAlfisolsSoutheast China |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Man Liu Guilin Han |
spellingShingle |
Man Liu Guilin Han Distribution of soil nutrients and erodibility factor under different soil types in an erosion region of Southeast China PeerJ Soil organic carbon and nitrogen Soil major elements Soil erodibility Alfisols Southeast China |
author_facet |
Man Liu Guilin Han |
author_sort |
Man Liu |
title |
Distribution of soil nutrients and erodibility factor under different soil types in an erosion region of Southeast China |
title_short |
Distribution of soil nutrients and erodibility factor under different soil types in an erosion region of Southeast China |
title_full |
Distribution of soil nutrients and erodibility factor under different soil types in an erosion region of Southeast China |
title_fullStr |
Distribution of soil nutrients and erodibility factor under different soil types in an erosion region of Southeast China |
title_full_unstemmed |
Distribution of soil nutrients and erodibility factor under different soil types in an erosion region of Southeast China |
title_sort |
distribution of soil nutrients and erodibility factor under different soil types in an erosion region of southeast china |
publisher |
PeerJ Inc. |
series |
PeerJ |
issn |
2167-8359 |
publishDate |
2021-06-01 |
description |
Background Soil erosion can affect the distribution of soil nutrients, which restricts soil productivity. However, it is still a challenge to understand the response of soil nutrients to erosion under different soil types. Methods The distribution of soil nutrients, including soil organic carbon (SOC), soil organic nitrogen (SON), and soil major elements (expressed as Al2O3, CaO, Fe2O3, K2O, Na2O, MgO, TiO2, and SiO2), were analyzed in the profiles from yellow soils, red soils, and lateritic red soils in an erosion region of Southeast China. Soil erodibility K factor calculated on the Erosion Productivity Impact Calculator (EPIC) model was used to indicate erosion risk of surface soils (0∼30 cm depth). The relationships between these soil properties were explored by Spearman’s rank correlation analysis, further to determine the factors that affected the distribution of SOC, SON, and soil major elements under different soil types. Results The K factors in the red soils were significantly lower than those in the yellow soils and significantly higher than those in the lateritic red soils. The SON concentrations in the deep layer of the yellow soils were twice larger than those in the red soils and lateritic red soils, while the SOC concentrations between them were not significantly different. The concentrations of most major elements, except Al2O3 and SiO2, in the yellow soils, were significantly larger than those in the red soils and lateritic red soils. Moreover, the concentrations of major metal elements positively correlated with silt proportions and SiO2 concentrations positively correlated with sand proportions at the 0∼80 cm depth in the yellow soils. Soil major elements depended on both soil evolution and soil erosion in the surface layer of yellow soils. In the yellow soils below the 80 cm depth, soil pH positively correlated with K2O, Na2O, and CaO concentrations, while negatively correlated with Fe2O3 concentrations, which was controlled by the processes of soil evolution. The concentrations of soil major elements did not significantly correlate with soil pH or particle distribution in the red soils and lateritic red soils, likely associated with intricate factors. Conclusions These results suggest that soil nutrients and soil erodibility K factor in the yellow soils were higher than those in the lateritic red soils and red soils. The distribution of soil nutrients is controlled by soil erosion and soil evolution in the erosion region of Southeast China. |
topic |
Soil organic carbon and nitrogen Soil major elements Soil erodibility Alfisols Southeast China |
url |
https://peerj.com/articles/11630.pdf |
work_keys_str_mv |
AT manliu distributionofsoilnutrientsanderodibilityfactorunderdifferentsoiltypesinanerosionregionofsoutheastchina AT guilinhan distributionofsoilnutrientsanderodibilityfactorunderdifferentsoiltypesinanerosionregionofsoutheastchina |
_version_ |
1721372699643609088 |